Digital Transformation of Education

Works Published in 2016

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Displaying works 1 - 20 of 36 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2016 chapter

Data-driven Domain Models for Problem Solving

In R. Sottilare, A. Graesser, X. Hu, A. Olney, B. Nye, & A. Sinatra (Eds.), Design Recommendations for Intelligent Tutoring Systems: Domain Modeling (Vol. 4). Orlando, Florida: Army Research Laboratory.

By: M. Eagle, B. Mostafavi & T. Barnes

Ed(s): R. Sottilare, A. Graesser, X. Hu, A. Olney, B. Nye & A. Sinatra

Source: NC State University Libraries
Added: December 25, 2021

2016 conference paper

Validating Game-based Measures of Implicit Science Learning

Educational Data Mining, 490–495.

By: E. Rowe, J. Asbell-Clarke, M. Hicks, T. Barnes, R. Brown & T. Edwards

Event: EDM2016 at Raleigh, NC

Source: NC State University Libraries
Added: December 25, 2021

2016 conference paper

Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving Educational Data Mining (EDM2016)

Educational Data Mining, 460–465.

By: B. Mostafavi & T. Barnes

Event: EDM2016 at Raleigh, NC

Source: NC State University Libraries
Added: December 25, 2021

2016 conference paper

The Impact of Granularity on the Effectiveness of Students' Pedagogical Decision

Presented at the Annual Meeting of the Cognitive Science Society (CogSci).

By: G. Zhou, C. Lynch, T. Price, T. Barnes & M. Chi

Event: Annual Meeting of the Cognitive Science Society (CogSci)

Source: NC State University Libraries
Added: December 25, 2021

2016 conference paper

Generating Data-driven Hints for Open-ended Programming

Educational Data Mining, 191–198.

By: T. Price, Y. Dong & T. Barnes

Event: EDM2016 at Raleigh, NC

Source: NC State University Libraries
Added: December 25, 2021

2016 conference paper

MOOC Learning by Country and Culture; an Exploratory Analysis

Educational Data Mining, EDM2016, 127–134.

By: Z. Liu, R. Brown, C. Lynch, T. Barnes, R. Baker, Y. Bergner, D. Mcnamara

Event: EDM2016 at Raleigh, NC

Source: NC State University Libraries
Added: December 25, 2021

2016 conference paper

Measuring Gameplay Affordances of User-Generated Content in and Educational Game

Presented at the International Conference on Educational Data Mining (EDM), Raleigh, North Carolina.

By: D. Hicks, Z. Liu, M. Eagle & T. Barnes

Event: International Conference on Educational Data Mining (EDM) at Raleigh, North Carolina on June 29 - July 2, 2016

Source: NC State University Libraries
Added: August 16, 2021

2016 chapter

Intervention-BKT: Incorporating Instructional Interventions into Bayesian Knowledge Tracing

In Intelligent Tutoring Systems (pp. 208–218).

author keywords: Knowledge tracing; Hidden Markov Model; Input Output Hidden Markov Model; Student modeling; Instructional intervention
TL;DR: The results showed the new model outperforms conventional BKT and two factor analysis based alternatives: Additive Factor Model AFM and Instructional Factor Model IFM; moreover, the learned parameters of Intervention-BKT can recommend adaptive pedagogical policies. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Crossref
Added: February 24, 2020

2016 journal article

Metaconceptually-enhanced simulation-based inquiry: effects on eighth grade students’ conceptual change and science epistemic beliefs

Educational Technology Research and Development, 65(1), 75–100.

author keywords: Conceptual change; Metaconceptual thinking; Scaffolding; Inquiry learning; Epistemic beliefs; Computer simulations
TL;DR: The findings led to the following conclusions: metaconceptual scaffolding enhanced simulation-based learning by significantly reducing science misconceptions, but it was not as effective in changing students’ mental models which consisted of multiple interrelated key concepts. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Sources: Crossref, NC State University Libraries
Added: January 31, 2020

2016 conference paper

Lessons Learned from "BJC" CS Principles Professional Development

Proceedings of the 47th ACM Technical Symposium on Computing Science Education - SIGCSE '16. Presented at the the 47th ACM Technical Symposium.

Event: the 47th ACM Technical Symposium

TL;DR: The data show that the BJC PD improved teachers' confidence in the authors' four core content categories and met its primary goal of training teachers in equitable, inquiry-based instruction. (via Semantic Scholar)
Source: Crossref
Added: December 16, 2019

2016 conference paper

Developing a Rubric for a Creative CS Principles Lab

Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE '16. Presented at the the 2016 ACM Conference.

By: V. Cateté n, E. Snider n & T. Barnes n

Event: the 2016 ACM Conference

TL;DR: This paper adapt general coding criteria from auto-graders to a lab where students write code to draw a brick wall and shows that the rubric can achieve high inter-rater agreement with the refined rubric. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (OpenAlex)
Source: Crossref
Added: December 16, 2019

2016 journal article

Learn about broadening participation

ACM SIGCSE Bulletin, 48(3), 5–5.

By: J. Payton & T. Barnes*

TL;DR: The RESPECT'16 conference showcases "Research on Equity and Sustained Participation in Engineering, Computing, and Technology", and offers research papers, experience reports, lightning talks and posters, in addition to excellent joint keynotes. (via Semantic Scholar)
Source: Crossref
Added: December 16, 2019

2016 conference paper

Promoting computing faculty success through interinstitutional faculty learning communities

2016 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT 2016).

By: J. Payton*, T. Barnes n, K. Buch*, A. Rorrer*, H. Zuo* & B. Naolu*

TL;DR: A descriptive study of faculty who participate in a Faculty Learning Community through their engagement in a national alliance for broadening participation in computing shows that involvement in the FLC facilitates faculty professional development, and helps support faculty in their academic career pursuits. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2016 article

Using Game Analytics to Evaluate Puzzle Design and Level Progression in a Serious Game

LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE, pp. 440–448.

By: D. Hicks n, M. Eagle*, E. Rowe, J. Asbell-Clarke, T. Edwards & T. Barnes n

author keywords: Serious Games; Educational Data Mining; Survival Analysis; Complex Problem Solving; Learning Analytics
TL;DR: This study found that students' progress through the first zone of the science learning game Quantum Spectre seemed to encounter a "roadblock" during gameplay, dropping out when they cannot (or do not want to) progress further. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2016 article

Evaluation of a Frame-based Programming Editor

PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH (ICER'16), pp. 33–42.

By: T. Price n, N. Brown*, D. Lipovac n, T. Barnes n & M. Kolling*

author keywords: Frame-based editing; Syntax; Evaluation; Greenfoot; Novice programming
TL;DR: An empirical evaluation of Stride, a frame-based language used in the Greenfoot IDE, is presented and it is found that the two groups reported similarly low levels of frustration and high levels of satisfaction, but students using Stride progressed through the activity more quickly and completed more objectives. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2016 article

Data-driven Proficiency Profiling - Proof of Concept

LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE, pp. 324–328.

author keywords: Data-driven; Tutoring system; Student classification; Clustering
TL;DR: This study implements the data-driven proficiency profiler (DDPP) into Deep Thought, a logic tutor where students practice constructing deductive logic proofs and shows that the DDPP did improve in performance with additional data and proved to be an effective proof of concept. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2016 article

Are Pedagogical Agents' External Regulation Effective in Fostering Learning with Intelligent Tutoring Systems?

INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 197–207.

By: R. Azevedo n, S. Martin n, M. Taub n, N. Mudrick n, G. Millar n & J. Grafsgaard n

author keywords: Self-regulated learning; Metacognition; Pedagogical agents; Externally regulated learning; ITS; Scaffolding; Learning; Product data; Process data
TL;DR: Testing whether external regulation provided by artificial pedagogical agents PAs was effective in facilitating learners' self-regulated learning SRL and can therefore foster complex learning with a hypermedia-based intelligent tutoring system indicated that those in the AS condition gained significantly more knowledge about the science topic thanThose in the C condition. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2016 conference paper

Using multi-channel data to assess, understand, and support affect and metacognition with intelligent tutoring systems

Intelligent tutoring systems, its 2016, 0684, 543–544.

Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Using eye-tracking to determine the impact of prior knowledge on self-regulated learning with an adaptive hypermedia-learning environment

Intelligent tutoring systems, its 2016, 0684, 34–47.

Source: NC State University Libraries
Added: August 6, 2018

2016 article

Using Multi-level Modeling with Eye-Tracking Data to Predict Metacognitive Monitoring and Self-regulated Learning with CRYSTAL ISLAND

INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 240–246.

author keywords: Metacognition; Self-regulated learning; Game-based learning; Eye tracking; Process data; Scientific reasoning
TL;DR: A study that investigated how college students' eye tracking behavior predicted performance on embedded assessments within the Crystal Island GBLE found that participants strategized when reading book and article content and completing assessments, which led to better performance. (via Semantic Scholar)
UN Sustainable Development Goal Categories
4. Quality Education (Web of Science)
Source: Web Of Science
Added: August 6, 2018

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